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A generalized distribution with wide range of skewness and elongation will be suitable for the data mining and compatible for the misspecification of the distribution. Hence, the purpose of this paper is to present a distribution-based approach for estimating degradation reliability considering these conditions.

Tukey’s g-and-h distribution with the quantile expression is introduced to fit the degradation paths of the population over time. The Newton–Raphson algorithm is used to approximately evaluate the reliability. Simulation verification for parameter estimation with particle swarm optimization (PSO) is carried out. The effectiveness and validity of the proposed approach for degradation reliability is verified by the two-stage verification and the comparison with others’ work.

Simulation studies have proved the effectiveness of PSO in the parameter estimation. Two degradation datasets of GaAs laser devices and crack growth are performed by the proposed approach. The results show that it can well match the initial failure time and be more compatible than the normal distribution and the Weibull distribution.

Tukey’s g-and-h distribution is first proposed to investigate the influence of the tail and the skewness on the degradation reliability. In addition, the parameters of the Tukey’s g-and-h distribution is estimated by PSO with root-mean-square error as the object function.

Prior studies have consistently shown that leader psychological capital is beneficial for leader–member exchange (LMX) and followers’ outcomes. In this study, the authors challenge this consensus; they propose that a leader with high-level psychological capital may decrease LMX and promote followers’ turnover intention when encountering a follower with low-level psychological capital. Only congruent psychological capital in leader–follower dyads increases LMX and decreases turnover intention.

A two-wave survey was designed to collect data from a sample of 207 leader–follower dyads in the service industries of China. Polynomial regression combined with the response surface analysis was used to test the hypotheses.

(1) LMX increased when the levels of psychological capital between leaders and followers were congruent, but LMX suffered when they were not congruent (e.g. leaders’ psychological capital was higher than followers’ or otherwise); (2) in the conditions of psychological capital congruence, LMX was higher when a leader’s and a follower’s psychological capital were both high than low; (3) LMX mediated the relationship between psychological capital congruence and followers’ turnover intention.

These findings provide a novel perspective on understanding of the function of psychological capital and its implications for turnover management.

All previous research seldom considered the proliferation process from the perspective of consumers or from a negative perspective to examine the desire for revenge and negative word of mouth (WOM) caused by deficiencies in innovative products. The purpose of this paper is to investigate consumers’ subsequent behaviors after they have outward and inward negative emotions such as anger and regret. The objective of this study is to explore the different effects of customers’ anger and regret on desire for revenge and negative WOM.

This research uses structural equation modeling to analyze 226 samples.

The results showed that regret has significant and positive effects on desire for revenge and negative WOM but anger has only a significant and positive effect on desire for revenge. Moreover, desire for revenge has a significant and positive effect on negative WOM. In addition, the desire for revenge plays a crucial mediator between anger and negative WOM as well as regret and negative WOM.

Corporations can use tangled emotions among consumers to predict the development of the desire for revenge and immediately implement remedies for deficiencies to prevent consumers from developing the desire for revenge and spreading negative WOM regarding the corporation or product, or engaging in other revenge behaviors. Corporations can easily detect and prevent the path between anger and revenge behaviors simply based on the desire for revenge. In contrast to the outward negative behavior that is anger, regret is implicit and internal.

This study explored two negative emotions of affect (anger and regret) based on affection and conation/action of the tricomponent attitude model and their different effects on consumers’ revenge behaviors such as desire for revenge and negative WOM. The contributions of this research are to clarify the different relationships between outward negative emotion (anger) and desire for revenge/negative WOM as well as inward negative emotion (regret) and desire for revenge/negative WOM.

Behavioral finance literature has long claimed that internet stock message boards can move markets. In this chapter, the authors study more than 2,000 internet board messages posted across finance message boards in India (Chittorgarh, etc.) for 110 companies that went for initial public offering (IPO) in the last one year. This study has multi-fold objectives. First, the authors try to identify the factors which lead to a discussion on an IPO stock in the message board. Second, the authors identify the factors which differentiate a widely discussed stock from the less discussed one. Next, the authors apply advanced machine learning technique to identify the topics which are discussed in the message board through automatic topic modeling. The methodology used includes a logistic regression model for identifying firm characteristics which leads to a probability of getting stakeholders’ attention and hence more discussion. The authors also use advanced topic modeling techniques to identify topics of discussion on the message boards through machine learning. The authors find that larger sized firms, younger firms, firms with low leverage, and non-manufacturing firms get discussed more and the topics of discussion relate to their financial statements, trading strategies, stock behavior, and performance.

This study aims to use “both–and” thinking of Yin-Yang philosophy to extend the field of leadership literatures and explore the influences of paradoxical leadership and emotional intelligence on organizational identification and turnover intentions of nurses.

The authors adopted a cross-sectional survey completed by 285 nurses in Taiwan. SPSS 22, PROCESS and AMOS 21 were used for data analysis.

The results reveal that paradoxical leadership has a significant positive relationship with nurses’ organizational identification and a significant negatively relationship with their turnover intentions, and organizational identification partially mediated the relationship between paradoxical leadership and turnover intentions. The results further show that emotional intelligence strengthens the effect of paradoxical leadership on organizational identification, and paradoxical leadership had a stronger indirect effect on turnover intentions through organizational identification under strong emotional intelligence.

Paradoxical leadership can strengthen managers’ abilities in dealing with interrelated and substantial issues and correspond to organizing and belonging paradoxes in holistic thinking processes. Health-care organizations must shape a coordinated institution and offer training initiatives to increase managers’ ability and attitude to control organizational rules and procedures while allowing employees’ flexibility and autonomy according to the requirements of the situation, which will maintain both organizational short-term benefits and long-term growth.

Chinese housing market has been growing fast during the past decade, and price-related forecasting has turned to be an important issue to various market participants, including the people, investors and policy makers. Here, the authors approach this issue by researching neural networks for rent index forecasting from 10 major cities for March 2012 to May 2020. The authors aim at building simple and accurate neural networks to contribute to pure technical forecasting of the Chinese rental housing market.

To facilitate the analysis, the authors examine different model settings over the algorithm, delay, hidden neuron and data spitting ratio.

The authors reach a rather simple neural network with six delays and two hidden neurons, which leads to stable performance of 1.4% average relative root mean square error across the ten cities for the training, validation and testing phases.

The results might be used on a standalone basis or combined with fundamental forecasting to form perspectives of rent price trends and conduct policy analysis.

The purpose of this paper is to provide a variety of viewpoints to illustrate the mechanism of the deck-stay interaction with the appropriate initial shapes of cable-stayed bridges, which is validated by a symmetrical structure.

Based on the smooth and convergent bridge shapes obtained by the initial shape analysis, the one-element cable system (OECS) and multi-element cable system (MECS) models of the symmetric harp cable-stayed bridge are developed to verify the applicability of the analytical model and numerical formulation from the field observations in the authors’ previous work. For this purpose, the modal analyses of the two finite element models are conducted to calculate the natural frequency and normalized mode shape of the individual modes of the bridge. The modal coupling assessment is also performed to obtain the generalized mass ratios among the structural components for each mode of the bridge.

The findings indicate that the coupled modes are attributed to the frequency loci veering and mode localization when the “pure” deck-tower frequency and the “pure” stay cable frequency approach one another, implying that the mode shapes of such coupled modes are simply different from those of the deck-tower system or stay cables alone. The distribution of the generalized mass ratios between the deck-tower system and stay cables are useful indices for quantitatively assessing the degree of coupling for each mode. For each identical group of stay cables in the MECS model, the local modes with similar natural frequencies and normalized mode shapes consist of the participation of one or more stay cables. These results are demonstrated to fully understand the mechanism of the deck-stay interaction with the appropriate initial shapes of cable-stayed bridges.

It is important to investigate the deck-stay interaction with the appropriate initial shape of a cable-stayed bridge. This is because such initial shape not only reasonably provides the geometric configuration as well as the prestress distribution of the bridge under the weight of the deck-tower system and the pretension forces in the stay cables, but also definitely ensures the satisfaction of the relations for the equilibrium conditions, boundary conditions and architectural design requirements. However, few researchers have studied the deck-stay interaction considering the initial shape effect. The objective of this paper is to fully understand the mechanism of the deck-stay interaction with the appropriate initial shapes of cable-stayed bridges, which is validated by a symmetrical structure. The modal coupling assessment is also performed for quantitatively assessing the degree of coupling for each mode of the bridge.

Film is an important recording medium in industry. How to ensure film quality is a problem, because the film is produced in a dark room. Aims to focus on this.

An inspection system based on machine vision is presented which could assure illumination and imaging at 940 nm which is safe for film.

An objective evaluation is given using an image processing method and satisfactory results are obtained. Now, the inspection system is used by the biggest film company in China.

This work focuses on an important issue in film production.

The brake connector of an automobile is one important part in the brake system. How to measure the matching surface quality is a problem, because the matching surface is a cone surface and has a deep aperture structure.

A new measurement system is presented which could assure illumination and image with a special beam splitter. The worker could observe the matching surface by better image.

More objective evaluation is given with image processing method.

Now, this measurement system is used by Toyota (Tianjin) company and satisfied result is obtained.

This paper is an original work and focuses on an important issue in automobile production.

Product liability refers to the liability of producers, distributors and suppliers for consumers’ property losses or personal injury caused by that product. This paper conducted a survey related to product liability issues in Shenzhen City, and did an in‐depth analysis of current problems. Finally, the paper puts forward corresponding suggestions for improvement of Shenzhen City product liability status.